Name
Title | ||
|---|---|---|
Efficient And Flexible Aggregation And Distribution Of Modis Atmospheric Products Based On Climate Analytics As A Service Framework |
Abstract | ||
|---|---|---|
MODIS (Moderate Resolution Imaging Spectroradiometer) is a key instrument onboard NASA's Terra (launched in 1999) and Aqua (launched in 2002) satellite missions as part of the more extensive Earth Observation System (EOS). By measuring the reflection and emission by the Earth-Atmosphere system in 36 spectral bands from the visible to thermal infrared with near-daily global coverage and high-spatial-resolution (250 m similar to 1 km at nadir), MODIS is playing a vital role in developing validated, global, interactive Earth system models. MODIS products are processed into three levels, i.e., Level-1 (L1), Level-2 (L2) and Level-3 (L3). To shift the current static and "one-size-fits-all" data provision method of MODIS products, in this paper, we propose a service-oriented flexible and efficient MODIS aggregation framework. Using this framework, users only need to get aggregated MODIS L3 data based on their unique requirements and the aggregation can run in parallel to achieve a speedup. The experiments show that our aggregation results are almost identical to the current MODIS L3 products and our parallel execution with 8 computing nodes can work 88.63 times faster than a serial code execution on a single node. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.3390/rs13173541 | REMOTE SENSING |
Keywords | DocType | Volume |
big climate data, flexible data aggregation, climate analytics as a service | Journal | 13 |
Issue | Citations | PageRank |
17 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianyu Zheng | 1 | 0 | 0.34 |
| Xin Huang | 2 | 0 | 0.34 |
| Supriya Sangondimath | 3 | 0 | 0.34 |
| Jianwu Wang | 4 | 215 | 26.72 |
| Zhibo Zhang | 5 | 6 | 2.30 |